Toward bio-inspired network robustness - step 1. modularity. In: Bio-Inspired Models of Network, Information and Computing Systems 2. New York: Association of Computing Machinery. pp 84–87. concentrations are close to zero, thus putting a lower weight on

Biological systems have evolved themselves to withstand against perturbations so that a characteristic, called robust-ness, is the most commonly observed feature in all living organisms. To find out the secret of robustness in biologi-cal systems, many researchers have investigated the system level structure of biological organizations. One of the known structural features that enable biological systems to be ro-bust is modularity. In this paper we study the correlation between modu-larity structure and robustness in IP networks. We carry out a simulation study to observe resistibility of different topologies, which have different level of modularity struc-ture, against a perturbation created synthetically. The nu-merical results show that the quantified modularity seems to be more important measure to understand robustness of IP networks than any other common properties such as clustering coefficient, degree distribution, and average path length